Create machine learning models

• Explore and analyze data with Python
• Train and evaluate regression models
• Train and evaluate classification models
• Train and evaluate clustering models
• Train and evaluate deep learning models

Explore visual tools for machine learning

• Use Automated Machine Learning in Azure Machine Learning
• Create a regression model with Azure Machine Learning designer
• Create a classification model with Azure Machine Learning designer
• Create a clustering model with Azure Machine Learning designer

Build and operate machine learning solutions with Azure Machine Learning

• Introduction to the Azure Machine Learning SDK
• Train a machine learning model with Azure Machine Learning
• Work with Data in Azure Machine Learning
• Work with Compute in Azure Machine Learning
• Orchestrate machine learning with pipelines
• Deploy real-time machine learning services with Azure Machine Learning
• Deploy batch inference pipelines with Azure Machine Learning
• Tune hyperparameters with Azure Machine Learning
• Automate machine learning model selection with Azure Machine Learning
• Explore differential privacy
• Explain machine learning models with Azure Machine Learning
• Detect and mitigate unfairness in models with Azure Machine Learning
• Monitor models with Azure Machine Learning
• Monitor data drift with Azure Machine Learning
• Explore security concepts in Azure Machine Learning

Build and operate machine learning solutions with Azure Databricks

• Get started with Azure Databricks
• Work with data in Azure Databricks
• Prepare data for machine learning with Azure Databricks
• Train a machine learning model with Azure Databricks
• Use MLflow to track experiments in Azure Databricks
• Manage machine learning models in Azure Databricks
• Track Azure Databricks experiments in Azure Machine Learning
• Deploy Azure Databricks models in Azure Machine Learning
• Tune hyperparameters with Azure Databricks
• Distributed deep learning with Horovod and Azure Databricks